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Pattern Recognition, Neural Networks, and Deep Learning

This class was created by Brainscape user Henry Cao. Visit their profile to learn more about the creator.

By: Henry Cao
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Decks in this class (10)

Week 1: Introduction to Pattern Recognition
Pattern recognition,
Exemplar,
Dataset
33  cards
Week 2: Discriminant Functions
Discriminant functions,
Dichotomiser,
Linear discriminant functions
13  cards
Week 3: Introduction to Neural Networks
Neuron,
Action potential,
Firing rate
18  cards
Week 4: Multilayer Perceptrons and Backpropagation
Feedforward neural networks,
Activation transfer function,
Symmetric hard limit signum trans...
19  cards
Week 5: Deep Discriminative Neural Networks
Deep neural networks,
Vanishing gradient problem,
Exploding gradient problem
21  cards
Week 6: Deep Generative Neural Networks
Generative adversarial network gan,
Maximum likelihood estimation,
Density and sample estimation
6  cards
Week 7: Feature Extraction
Feature engineering,
Feature selection,
Feature extraction
20  cards
Week 8: Support Vector Machines
Support vector machines svm s,
Linear svm s,
Linearly separable case
24  cards
Week 9: Ensemble Methods
Ensemble methods,
Bagging,
Boosting
7  cards
Week 10: Clustering
Clustering,
K means clustering,
Fuzzy k means clustering
9  cards

More about
Pattern Recognition, Neural Networks, and Deep Learning

  • Class purpose General learning

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